The role of scapular morphological structure in degenerative rotator cuff injury: a digital reconstruction radiograph study.

Objective: To investigate the relationships among the acromial tilt (AT), the glenoid inclination angle (GIA), the critical shoulder angle (CSA), the acromioglenoid angle (AGA), and degenerative rotator cuff injury via digital reconstruction radiographs (DRRs).

Methods: A retrospective cohort of 63 patients who met the inclusion criteria were enrolled from the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine between April 2023 and April 2024, 33 patients with rotator cuff injury and 30 controls were included. Clinical data and scapular computed tomography (CT) scans were collected, and three-dimensional reconstructions were generated via Amira software (Thermo Fisher Scientific, USA).

Heterodimeric protein entangling motifs: systematic discovery, feature analysis, and topology engineering.

Synthesis of nontrivial protein topologies calls for genetically encoded protein entangling motifs, especially those of heterogeneous nature, to achieve structural complexity and functional relevance. Herein, we report the systematic discovery of heterodimeric entangling motifs using criteria like Gauss linking number, buried surface area and terminal distances. These motifs were analyzed to reveal their formation mechanisms (, precursor cleavage, synergistic folding and segment piercing/wrapping) and biological significance (, stability enhancement crucial for executing functions like regulation and catalysis).

A Unified Peptide Generative Framework via a Weakly Order-Dependent Autoregressive Language Model and Lifelong Learning.

Bioactive peptides have become strong candidates for a variety of clinical therapies due to their diverse advantages, which promote the development of deep generative models for peptide generation. Considering that existing methods cannot effectively deal with the conformational flexibility of peptides and find it difficult to capture accurate residue-to-residue interaction dependencies, we propose a unified peptide generative framework, PepGenWL, via a weakly order-dependent autoregressive language model and lifelong learning. PepGenWL introduces tolerance for out-of-order input as an inductive bias into the autoregressive language model, coupled with Mixture-of-Experts-style plugins to maintain the optimal trade-off between memory stability and learning plasticity across multiple rounds of fine-tuning.

Designing Catalysts to Accelerate a Protein-Peptide Assembly-Reaction Cascade.

A biological system is rich in dynamic biomolecular assembly reaction cascades mediated by enzymes and molecular chaperones, as represented by the formation of the "chain-mail-like" bacteriophage HK97 capsid that involves sequential events of chaperone-assisted assembly and cross-linking reactions. To shed light on such catalyzed assembly processes, we report an artificial protein-peptide "assembly-reaction" cascade that can be accelerated by rationally designed catalysts. The cascade is inhibited by a tethered SpyTag mutant that blocks SpyCatcher from the subsequent reactions.

Predicting protein stability changes upon mutations with dual-view ensemble learning from single sequence.

Predicting the protein stability changes upon mutations is one of the effective ways to improve the efficiency of protein engineering. Here, we propose a dual-view ensemble learning-based framework, DVE-stability, for mutation-induced protein stability change prediction from single sequence. DVE-stability integrates the global and local dependencies of mutations to capture the intramolecular interactions from two views through ensemble learning, in which a structural microenvironment simulation module is designed to indirectly introduce the information of structural microenvironment at the sequence level.

Dietary vitamin C improves muscle hardness and springiness associated with collagen and elastin synthesis in grass carp (Ctenopharyngodon idella).

This study explored the effects of dietary vitamin C on growth performance, flesh quality, and collagen and elastin content in adult grass carp (Ctenopharyngodon idella). A total of 540 fish (initial weight 585.00 ± 0.

Clinical implication of post-angioplasty quantitative flow ratio in the patients with coronary artery de novo lesions underwent drug-coated balloons treatment.

Background: Quantitative flow ratio (QFR) holds significant value in guiding drug-coated balloon (DCB) treatment and enhancing outcomes. However, the predictive capability of post-angioplasty QFR for long-term clinical events in patients with de novo lesions who receive DCB treatment remains uncertain. The aim of this study was to explore the potential significance of post-angioplasty QFR measurements in predicting clinical outcomes in patients underwent DCB treatment for de novo lesions.

Computational discovery and systematic analysis of protein entangling motifs in nature: from algorithm to database.

Nontrivial protein topology has the potential to revolutionize protein engineering by enabling the manipulation of proteins' stability and dynamics. However, the rarity of topological proteins in nature poses a challenge for their design, synthesis and application, primarily due to the limited number of available entangling motifs as synthetic templates. Discovering these motifs is particularly difficult, as entanglement is a subtle structural feature that is not readily discernible from protein sequences.

Deep Learning-Assisted Discovery of Protein Entangling Motifs.

Natural topological proteins exhibit unique properties including enhanced stability, controlled quaternary structures, and dynamic switching properties, highlighting topology as a unique dimension in protein engineering. Although artificial design and synthesis of topological proteins have achieved certain success, their diversity and complexity remain rather limited due to the scarcity of available entangling motifs essential for the construction of nontrivial protein topologies. In this work, we developed a deep-learning model to predict the entanglement features of a homodimer based solely on its amino acid sequence via the Gauss linking number matrices.

The low enoyl-acyl carrier protein reductase activity of FabI2 is responsible for the high unsaturated fatty acid composition in Sinorhizobium meliloti.

Background: Sinorhizobium meliloti is noted for its exceptional capacity to produce unsaturated fatty acids (UFAs). Earlier studies have indicated that S. meliloti primarily employs the FabA-FabB pathway for UFA synthesis, however, the mechanisms remain elusive.

Intracoronary administration of tenecteplase to prevent PCI-related myocardial infarction in patients with echo-attenuated coronary plaques: study protocol for a multicenter, prospective, randomized controlled trial.

Background: Percutaneous coronary intervention (PCI)-related myocardial infarction (MI), especially the distal type associated with microvascular dysfunction, is not an uncommon complication of the procedure. Specific lesion features, the echo-attenuated plaques (EA) in particular, are well-established contributors to the pathogenesis of distal-type MI. These plaques are prone to disruption during PCI, leading to microvascular thrombosis and distal embolism.

A Nonessential Sfp-Type Phosphopantetheinyl Transferase Contributes Significantly to the Pathogenicity of .

4'-Phosphopantetheinyl transferases (PPTases) play important roles in the posttranslational modifications of bacterial carrier proteins, which are involved in various metabolic pathways. Here, we found that and encoded a functional AcpS-type and Sfp-type PPTase, respectively, in GMI1000, and both are capable of modifying AcpP1, AcpP2, AcpP3, and AcpP5 proteins. is located on the megaplasmid, which does not affect strain growth and fatty acid synthesis but significantly contributes to the virulence of and preferentially participates in secondary metabolism.

Folds from fold: Exploring topological isoforms of a single-domain protein.

Expanding the protein fold space beyond linear chains is of fundamental significance, yet remains largely unexplored. Herein, we report the creation of seven topological isoforms (i.e.

Distinct Olfactory Bulb-Cortex Neural Circuits Coordinate Cognitive Function in Parkinson's Disease.

Cognitive dysfunction stands as a prevalent and consequential non-motor manifestation in Parkinson's disease (PD). Although dysfunction of the olfactory system has been recognized as an important predictor of cognitive decline, the exact mechanism by which aberrant olfactory circuits contribute to cognitive dysfunction in PD is unclear. Here, we provide the first evidence for abnormal functional connectivity across olfactory bulb (OB) and piriform cortex (PC) or entorhinal cortex (EC) by clinical fMRI, and dysfunction of neural coherence in the olfactory system in PD mice.

Probing the Topological Effects on Stability Enhancement and Therapeutic Performance of Protein Bioconjugates: Tadpole, Macrocycle versus Figure-of-Eight.

Chemical topology provides a unique dimension for making therapeutic protein bioconjugates with native structure and intact function, yet the effects of topology remain elusive. Herein, the design, synthesis, and characterization of therapeutic protein bioconjugates in three topologies (i.e.

IL-6 mediates olfactory dysfunction in a mouse model of allergic rhinitis.

Background: Immune-inflammatory response is a key element in the occurrence and development of olfactory dysfunction (OD) in patients with allergic rhinitis (AR). As one of the core factors in immune-inflammatory responses, interleukin (IL)-6 is closely related to the pathogenesis of allergic diseases. It may also play an important role in OD induced by diseases, such as Sjögren's syndrome and coronavirus disease 2019.

A single-domain protein catenane of dihydrofolate reductase.

A single-domain protein catenane refers to two mechanically interlocked polypeptide rings that fold synergistically into a compact and integrated structure, which is extremely rare in nature. Here, we report a single-domain protein catenane of dihydrofolate reductase (-DHFR). This design was achieved by rewiring the connectivity between secondary motifs to introduce artificial entanglement and synthesis was readily accomplished through a series of programmed and streamlined post-translational processing events in cells without any additional reactions.

Autoantibody repertoire profiling in tissue and blood identifies colorectal cancer-specific biomarkers.

Autoantibodies (AAbs) in the blood of colorectal cancer (CRC) patients have been evaluated for tumor detection. However, it remains uncertain whether these AAbs are specific to tumor-associated antigens. In this study, we explored the IgG and IgM autoantibody repertoires in both the in situ tissue microenvironment and peripheral blood as potential tumor-specific biomarkers.